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Data Scientist – LLM & Generative AI (RAG)

OREDATA · Istanbul

Senior 🇬🇧 English
Large Language Models (LLMs) Generative AI Embeddings Vector search Document retrieval Chunking strategies Prompt engineering Conversational AI Software engineering Data engineering

Job description

About the role

OREDATA is seeking a Data Scientist specialized in Large Language Models and Retrieval‑Augmented Generation to join its aviation‑industry client. You will design, develop and optimise AI‑driven conversational solutions that leverage both structured and unstructured data.

Key responsibilities

  • Design, develop, test and improve LLM‑based and Retrieval‑Augmented Generation (RAG) solutions.
  • Lead the creation of internal chat‑bot and conversational AI products.
  • Prepare, retrieve, enrich and optimise knowledge sources from diverse data formats.
  • Enhance LLM performance through prompt engineering, retrieval optimisation, model selection and output quality analysis.
  • Collaborate with product, engineering, data and business teams to translate requirements into practical AI solutions.
  • Contribute to the technical design of generative AI systems, ensuring scalability, maintainability, security and operational feasibility.
  • Support broader data and AI initiatives beyond RAG‑focused projects.
  • Stay up‑to‑date with the latest developments in generative AI, LLMs, agentic systems and related technologies.

Required profile

  • Minimum 5 years of professional experience in data science, machine learning, AI, data engineering or software development.
  • Strong hands‑on experience with Large Language Models and generative AI use cases.
  • Proven ability to design, build and improve RAG‑based applications.
  • Experience with embeddings, vector search, document retrieval, chunking strategies and prompt engineering.
  • Ability to assess AI solutions architecturally while remaining actively involved in implementation.
  • Curiosity about emerging generative‑AI concepts such as AI agents, tool use and modern RAG approaches.

Required skills

  • Large Language Models (LLMs)
  • Generative AI
  • Retrieval‑Augmented Generation (RAG)
  • Embeddings and vector search
  • Document retrieval and chunking strategies
  • Prompt engineering
  • LLM evaluation methodologies
  • Chat‑bot and conversational AI development
  • Knowledge‑assistant, search and recommendation systems
  • Software engineering or data engineering concepts (optional)

What we offer

  • Open communication and a start‑up spirit within a mature consulting firm.
  • Flexibility in work arrangements.
  • Learning and development opportunities for personal and professional growth.

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Published 1 month ago

Expires 2 weeks from now

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OREDATA

Istanbul